Less fast food, please!
Monday again! You will start working on a new project - analyzing the evolution of obesity through the years. You have a dataset called obesity with the percentage of obesity in different countries and years. The data is also disaggregated by biological sex.
Your main goals are to get the mean percentage of obesity by year and sex, and by country and sex. Also, you want to get the difference between years.
You notice that the dataset has multiple indices, so you know you will have to unstack levels to accomplish your goal.
The obesity DataFrame is available in your session.
This exercise is part of the course
Reshaping Data with pandas
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Unstack the first level and calculate the mean of the columns
obesity_general = obesity.____(____=____).____(____)
# Print obesity_general
print(obesity_general)